Key result
The SST k-omega turbulence model demonstrated the smallest average error (15.28%) in velocity field simulation compared to experimental particle image velocimetry for an axial flow blood pump.
Why the study?
Computational fluid dynamics is essential for designing blood pumps, but it remains questionable which turbulence model best captures flow information for an axial flow blood pump.
The SST k-w turbulence model provides the most accurate computational fluid dynamics simulation for axial flow blood pumps compared to experimental particle image velocimetry.
May inform CFD model selection for axial blood pumps; leaves open in vivo validation before clinical device use.
Computational fluid dynamics (CFD) has become an essential tool for designing and optimizing the structure of blood pumps. However, it is still questionable which turbulence model can better obtain the flow information for axial flow blood pump. In this study, the axial flow blood pump was used as the object, and the influence of the common turbulence models on simulation was compared. Six turbulence models (standard [Formula: see text]–[Formula: see text] model, RNG [Formula: see text]–[Formula: see text] model, standard [Formula: see text]–[Formula: see text] model, SST [Formula: see text]–[Formula: see text] model, Spalart–Allmaras model, SSG Reynolds stress model) were used to simulate the pressure difference and velocity field of the pump. In parallel, we designed a novel drive system of the axial flow blood pump, which allowed the camera to capture the internal flow field. Then we measured the flow field in the impeller region based on particle image velocimetry (PIV). Through the comparison of experiments and simulation results, the average errors of velocity field obtained by the above models are 30.97%, 19.40%, 24.25%, 15.28%, 28.51%, 23.00%, respectively. Since the SST [Formula: see text]–[Formula: see text] model has the smallest error, and the streamline is consistent with the experimental results, it is recommended to use SST [Formula: see text]–[Formula: see text] model for numerical analysis of the axial flow blood pump.
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Wang et al. (2019) studied this question. SST k-omega turbulence model vs. Other turbulence models (standard k-epsilon, RNG k-epsilon, standard k-omega, Spalart-Allmaras, SSG Reynolds stress) was evaluated on Average error of velocity field compared to experimental results. The SST k-omega turbulence model demonstrated the smallest average error (15.28%) in velocity field simulation compared to experimental particle image velocimetry for an axial flow blood pump.
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